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- 2019
- Article
Time-Driven Activity-Based Cost Analysis for Outpatient Anticoagulation Therapy: Direct Costs in a Primary Care Setting with Optimal Performance
By: Robert S. Kaplan, Rohit A. Bobade, Richard A. Helmers, Thomas M. Jaeger, Laura J. Odell and Derek A. Haas
Objectives: To determine how overall cost of anticoagulation therapy for warfarin compares with that of Novel Oral Anticoagulants (NOACs). Also, to demonstrate a scientific, comprehensive, and an analytical approach to estimate direct costs involved in monitoring and... View Details
- March 2019
- Article
A Time-Driven Activity-Based Costing Analysis of Emergency Department Scribes
By: Robert S. Kaplan, Heather A. Heaton, David M. Nestler, William J. Barry, Richard A. Helmers, Mustafa Y. Sir, Deepi G. Goyal, Derek A. Haas and Annie T. Sadosty
Objectives: To apply time-driven activity-based costing (TDABC) methodology to determine emergency medicine physician documentation costs with and without scribes.
Methods: Two research assistants shadowed attending physicians for a total of 64 hours in the... View Details
Methods: Two research assistants shadowed attending physicians for a total of 64 hours in the... View Details
- January 2019
- Supplement
Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis
By: Jill Avery and Gerald Zaltman
In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar... View Details
Keywords: Brand Management; Market Research; Brand Positioning; Value Proposition; Consumer Products; Fast Moving Consumer Goods; Qualitative Methods; Zaltman Metaphor Elicitation Technique; ZMET; Data Analysis; Marketing; Marketing Strategy; Brands and Branding; Consumer Behavior; Marketing Communications; Analytics and Data Science; Analysis; Consumer Products Industry; Food and Beverage Industry; Advertising Industry; United States; North America; Italy
- December 2018
- Case
Bata versus Relaxo—Analyzing Performance
By: Suraj Srinivasan, Iris Leung and Quinn Pitcher
Set in 2016, “Bata India versus Relaxo—Analyzing Performance” compares the strategies and financial performance of two Indian footwear companies. Bata India had long been the market leader in footwear in India, but its leading market position was being challenged by... View Details
- Article
The Strategy in Competitive Interactions
This paper reviews, discusses, and expands the “core guidance” definition of strategy as “the smallest set of choices to optimally guide (or force) other choices.” It first discusses what this definition contributes to the existing proposed definitions. It then... View Details
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
- September 2018
- Teaching Note
The Case of the Unidentified Ratios
By: Josh Lerner
Teaching Note for HBS No. 812-129. This teaching note provides an introduction to ratio analysis as well as the different financial properties across and within industries. Students are asked to match ratios to a list of industries. View Details
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
- Article
Raiffa Transformed the Field of Negotiation—and Me
By: Max Bazerman
Howard Raiffa was a role model, friend, and inspiration. He transformed the field of negotiation, and he transformed my career. This brief article provides a recollection of how Howard revolutionized the field of negotiation and how those insights are now affecting... View Details
- July 2018 (Revised June 2020)
- Case
The Boston Cranberry Company
By: Alan MacCormack
This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing... View Details
- June 2018
- Case
American Airlines' Value Pricing (Abridged)
By: Alvin J. Silk and Sunil Gupta
This is an abridged version of the 1992 case where American Airlines (AA) launched "Value Pricing" in an attempt to simplify the pricing structure of the airline industry. AA expected that this plan would benefit not only consumers, but also AA and the entire airline... View Details
- June 2018
- Case
Forta Furniture: International Expansion
By: John A. Quelch and Karthik Easwar
The Forta Furniture case highlights the need to consider new market expansion to grow a firm. It demonstrates that simply doing what has always been done is not sustainable when other competitors enter the market with differentiated or potentially superior offerings.... View Details
- June 2018
- Case
Verona Group
By: Robert L. Simons and Sarah Abbott
Are a salesperson's struggles her own fault or the result of a problematic job design? Anna George works as a salesperson at Verona Group, a company that designs and wholesales high-end women's apparel. She had spent nearly 20 years in sales with another fashion label... View Details
- 2018
- Simulation
Financial Analysis Simulation: Data Detective
By: Suraj Srinivasan and V.G. Narayanan
In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details